I'm not an expert in Python.
When intel-numpy ffts I experiment with (fft2 and fftn), the memory increases until to be full.
I try a small code that generates the same issue:
import numpy import math import gc import numpy.fft as fft while True : test=numpy.fft.fft2(numpy.ones((200,200))); del test gc.collect()
I am doing something wrong, or it's a bug in the package ?
I run the experimentations on a Ubuntu en a CentOS with Python 3.6
Thanks, in advance for the highlight,
PS. mkl_fft do the same
I get the version number with mkl_fft.__version__
On Ubuntu I installed with pip, and I get the version: '1.0.6'
On CentOS with pip, then I remove it and install with yum , and I get the same version '1.0.6', with the same problem